WolffeM's repositories
CARDiAC-CMB
Code for Anisotropic Redshift Distributions in Angular Clustering
CHAMP_Bootcamp
Lesson material for the CHAMP Bootcamp.
Corrfunc
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
Cosmology-SimulationsH0
Numerical algorithms in inflationary cosmology and high-energy astrophysics.
Cosmology-with-Supernovae-Ia-MCMC-Estimation-of-Cosmological-Parameters
Developed an MCMC code to estimate cosmological parameters from supernova Ia data. Utilized statistical techniques to infer crucial information about the Universe
CovaPTspectrumgalaxy
Analytic covariance of the galaxy power spectrum multipoles
Facundoredmapper
The redMaPPer Cluster Finder
GaussianP_in_Cosmology
Applications of Gaussian Processes Regression to the non-parametrical prediction of cosmological observables (Dark Energy, Hubble Parameter and Deceleration Parameter)
GP-SFHStars
Gaussian process based implementation for galaxy star formation histories with custom kernels
gwpolsAnimationXX
GW polarization parameterizations and corresponding Jacobians.
HELIANAAquixxxVoid_analysis
Various code written for working with voids.
high_z_candles-axion
A Bayesian Python code to confront the quasar data set with models beyond the standard model of elementary particle physics and models beyond the $\Lambda$CDM standard cosmology.
ICTS-Weak-Lensing
Code to measure the Weak Lensing Signal from objects identified in the redMaGiC Dataset.
Markov-Chain-Monte-Carlomejorar
Using the Markov chain Monte Carlo (MCMC) and Hamiltonian Monte Carlo (HMC) random walk algorithms to estimate cosmological parameters from supernova Ia data.
MArtinRicharteTreeCorrCorrelationFunc
Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to
MGCosmoMCnuevo
This is the official MGCosmoMC repository.
Monte-Carlo-SimulationEddigntonSolarEclipse
Markov chain Monte Carlo (MCMC) and Hamiltonian Monte Carlo (HMC) random walk algorithms and statistical models were used to estimate cosmological parameters from supernova Ia data and analyse data from Eddignton's 1919 solar eclipse data to prove Einstein's General Relativity.
MRicharteAquiGraficosXXXGW_turbulence
Generates gravitational wave results from numerical simulations of MHD turbulence performed using the Pencil Code.
Numerical-simulations-of-stochastic-inflation-for-an-asymmetric-potential
Numerical simulations of stochastic inflation for asymmetric potentials.
PBHbounds
Code for plotting bounds on the abundance of primordial black holes (PBHs)
planck_compressed
A python implementation of MOPED compressed CMB TTTEEE+lensing
polyMVRenan
Python package that converts multipolar coefficients into Multipole Vectors and Fréchet Vectors
PyQSOFitquasar
A code to fit the spectrum of quasar
SLtoolscosmo
A library for strong lensing (analysis, simulations, etc.) with tools for image and catalog manipulation
TeachingMQ
Holds notebooks used for teaching